基于改进栈式稀疏去噪自编码器的自适应图像去噪 
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Adaptive Image Denoising Based on Improved Stacked Sparse Denoising Auto-Encoder
1 空军工程大学航空工程学院, 陕西 西安 710038
2 中国人民解放军95876部队, 甘肃 山丹 734100
图 & 表
图 1. DAE算法流程图
Fig. 1. Algorithm flow of DAE
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图 2. SSDA网络结构示意图
Fig. 2. Network diagram of SSDA
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图 3. SRDA网路结构示意图
Fig. 3. Network diagram of SRDA
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图 4. ASRDA网络模型
Fig. 4. Network model of ASRDA
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图 5. 收敛效果对比
Fig. 5. Comparison of convergence effects
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图 6. 不同算法的去噪效果对比。(a) Noisy;(b) G-SRDA;(c) S&P-SRDA;(d) MC-SRDA;(e) ASRDA;(f) BM3D
Fig. 6. Comparison of denoising performance of different algorithms. (a) Noisy; (b) G-SRDA; (c) S&P-SRDA; (d) MC-SRDA; (e) ASRDA; (f) BM3D
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表 1Set12数据集上不同算法实验结果平均PSNR/SSIM
Table1. Average PSNR/SSIM of the experimental results of different algorithms on the Set12 data set
| Noisy type | G-SRDA | S&P-SRDA | S-SRDA | MC-SRDA | ASRDA | BM3D |
|---|
| G1 | 27.63/0.8156 | 25.39/0.7504 | 25.41/0.7561 | 27.44/0.8075 | 29.87/0.8517 | 29.88/0.8486 | | G2 | 25.39/0.7233 | 23.13/0.6194 | 22.78/0.6003 | 25.38/0.7171 | 25.44/0.7321 | 25.39/0.7232 | | S&P1 | 28.27/0.8406 | 34.90/0.9851 | 23.9/0.6795 | 26.62/0.8002 | 36.87/0.9863 | 19.50/0.4326 | | S&P2 | 25.75/0.7998 | 31.66/0.9661 | 22.92/0.6284 | 23.79/0.7347 | 33.66/0.9711 | 13.71/0.1646 | | S1 | 23.87/0.6851 | 24.45/0.6971 | 28.58/0.8411 | 24.91/0.7029 | 28.22/0.8396 | 19.40/0.4743 | | S2 | 23.6/0.6596 | 23.85/0.6644 | 27.75/0.8147 | 24.24/0.6713 | 27.77/0.8136 | 16.64/0.3769 | | P1 | 23.79/0.6845 | 24.44/0.7420 | 23.90/0.6877 | 24.26/0.6720 | 28.83/0.8479 | 27.13/0.8289 | | P2 | 23.4/0.6520 | 23.77/0.6561 | 22.92/0.6310 | 23.40/0.6463 | 25.63/0.7517 | 20.61/0.7454 | | U1 | 23.65/0.6770 | 24.11/0.6738 | 25.05/0.6739 | 24.14/0.6815 | 25.05/0.6669 | 16.98/0.3098 | | U2 | 19.28/0.6368 | 19.41/0.6366 | 20.21/0.6500 | 19.88/0.6443 | 21.10/0.6610 | 14.13/0.3036 | | Average | 24.46/0.7210 | 25.51/0.7391 | 24.80/0.7014 | 24.35/0.7083 | 28.25/0.8122 | 20.34/0.5208 |
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马红强, 马时平, 许悦雷, 吕超, 朱明明. 基于改进栈式稀疏去噪自编码器的自适应图像去噪[J]. 光学学报, 2018, 38(10): 1010001. Hongqiang Ma, Shiping Ma, Yuelei Xu, Chao Lü, Mingming Zhu. Adaptive Image Denoising Based on Improved Stacked Sparse Denoising Auto-Encoder[J]. Acta Optica Sinica, 2018, 38(10): 1010001.
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